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Conference Paper: Detecting Mild Pathological Voice based on Multi-modality Features

TitleDetecting Mild Pathological Voice based on Multi-modality Features
Authors
Issue Date2020
PublisherIEEE.
Citation
2020 International Conference on Asian Language Processing (IALP), p. 187-191 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/324865

 

DC FieldValueLanguage
dc.contributor.authorWang, Q-
dc.contributor.authorNg, ML-
dc.contributor.authorWang, L-
dc.contributor.authorZou, F-
dc.contributor.authorYan, N-
dc.date.accessioned2023-02-20T01:39:28Z-
dc.date.available2023-02-20T01:39:28Z-
dc.date.issued2020-
dc.identifier.citation2020 International Conference on Asian Language Processing (IALP), p. 187-191-
dc.identifier.urihttp://hdl.handle.net/10722/324865-
dc.languageeng-
dc.publisherIEEE. -
dc.relation.ispartof2020 International Conference on Asian Language Processing (IALP)-
dc.rights2020 International Conference on Asian Language Processing (IALP). Copyright © IEEE.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleDetecting Mild Pathological Voice based on Multi-modality Features-
dc.typeConference_Paper-
dc.identifier.emailNg, ML: manwa@hku.hk-
dc.identifier.authorityNg, ML=rp00942-
dc.identifier.doi10.1109/IALP51396.2020.9310476-
dc.identifier.hkuros343688-
dc.identifier.spage187-
dc.identifier.epage191-

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